Wed 18th Nov 2015 – Dr Fiona McNeill

Dr Fiona McNeill – Heriot Watt

Dynamic Interpretation and Integration of Mismatched Data

Abstract
We exist in a world of large data: most organisations have large data stored, and many (such as governments) have vast ones. Accessing and utilising this data quickly and effectively is essential for many real-world tasks. One of the great difficulties of such automated knowledge sharing is that each participant will have developed and evolved its knowledge sources independently and there will be significant variation in how they have done this. These differences may be to do with different words being used for the same thing, or vice versa, but may also be to do with the structure of the data. In this talk I will discuss our work on failure-driven diagnosis of ontological mismatch, and its application to dynamic integration of mismatched data from potentially large sources. The fact that these techniques are only invoked when some sort of failure occurs (for example, failure to interpret an automated query), and are based on reasoning about the causes of the failure, means that the majority of data in a large data source can be ignored, thereby providing a tractable solution to the problem.

School of Computing Science & Digital Media, Robert Gordon University, Sir Ian Wood Building, Garthdee, Aberdeen, Conference Room N117, 13:00 – 14:00.

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School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, Scotland
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